






"""simple docstring"""






import fire
from torch.utils.data import DataLoader
from tqdm import tqdm

from transformers import AutoTokenizer
from utils import SeqaSeqDataset, pickle_save



def    _A     (__a       ,							__a       ,							__a=10_24       ,							__a=10_24       ,							__a=False       ,							**__a				)					->			Any:
    """simple docstring"""






    SCREAMING_SNAKE_CASE_ :    str       		=						AutoTokenizer.from_pretrained(_lowerCamelCase				)
    SCREAMING_SNAKE_CASE_ :    List[Any]       		=						SeqaSeqDataset(_lowerCamelCase       ,							_lowerCamelCase       ,							_lowerCamelCase       ,							_lowerCamelCase       ,							type_path='''train'''       ,							**_lowerCamelCase				)
    SCREAMING_SNAKE_CASE_ :    Optional[Any]       		=						tok.pad_token_id

    def get_lens(__a				):
        SCREAMING_SNAKE_CASE_ :    str       		=						tqdm(
            DataLoader(_lowerCamelCase       ,							batch_size=5_12       ,							num_workers=8       ,							shuffle=_lowerCamelCase       ,							collate_fn=ds.collate_fn				)       ,							desc=str(ds.len_file				)       ,							)
        SCREAMING_SNAKE_CASE_ :    Union[str, Any]       		=						[]
        for batch in dl:
            SCREAMING_SNAKE_CASE_ :    Any       		=						batch['''input_ids'''].ne(_lowerCamelCase				).sum(1				).tolist()
            SCREAMING_SNAKE_CASE_ :    Union[str, Any]       		=						batch['''labels'''].ne(_lowerCamelCase				).sum(1				).tolist()
            if consider_target:
                for src, tgt in zip(_lowerCamelCase       ,							_lowerCamelCase				):
                    max_lens.append(max(_lowerCamelCase       ,							_lowerCamelCase				)				)
            else:
                max_lens.extend(_lowerCamelCase				)
        return max_lens

    SCREAMING_SNAKE_CASE_ :    str       		=						get_lens(_lowerCamelCase				)
    SCREAMING_SNAKE_CASE_ :    Optional[int]       		=						SeqaSeqDataset(_lowerCamelCase       ,							_lowerCamelCase       ,							_lowerCamelCase       ,							_lowerCamelCase       ,							type_path='''val'''       ,							**_lowerCamelCase				)
    SCREAMING_SNAKE_CASE_ :    List[Any]       		=						get_lens(_lowerCamelCase				)
    pickle_save(_lowerCamelCase       ,							train_ds.len_file				)
    pickle_save(_lowerCamelCase       ,							val_ds.len_file				)


if __name__ == "__main__":
  fire.Fire(save_len_file)




"""simple docstring"""






class 			lowercase					:






			def __init__(self  :	Dict			)       ->	List[Any]:





				"""simple docstring"""


				lowerCAmelCase												=  {}






			def 					UpperCAmelCase							(self  :	Union[str, Any]			)       ->	None:





				"""simple docstring"""


				print(self.vertex			)
				for i in self.vertex:
					print(SCREAMING_SNAKE_CASE_      ,''' -> '''      ,''' -> '''.join([str(SCREAMING_SNAKE_CASE_			) for j in self.vertex[i]]			)			)






			def 					UpperCAmelCase							(self  :	Optional[Any]      ,SCREAMING_SNAKE_CASE_  :	int      ,SCREAMING_SNAKE_CASE_  :	int			)       ->	None:





				"""simple docstring"""


				if from_vertex in self.vertex:
					self.vertex[from_vertex].append(SCREAMING_SNAKE_CASE_			)
				else:
					# else make a new vertex
					lowerCAmelCase												=  [to_vertex]






			def 					UpperCAmelCase							(self  :	List[str]			)       ->	None:





				"""simple docstring"""


				lowerCAmelCase												=  [False] * len(self.vertex			)

				# call the recursive helper function
				for i in range(len(self.vertex			)			):
					if not visited[i]:
						self.dfs_recursive(SCREAMING_SNAKE_CASE_      ,SCREAMING_SNAKE_CASE_			)






			def 					UpperCAmelCase							(self  :	Optional[Any]      ,SCREAMING_SNAKE_CASE_  :	int      ,SCREAMING_SNAKE_CASE_  :	list			)       ->	None:





				"""simple docstring"""


				lowerCAmelCase												=  True

				print(SCREAMING_SNAKE_CASE_      ,end=''' '''			)

				# Recur for all the vertices that are adjacent to this node
				for i in self.vertex:
					if not visited[i]:
						self.dfs_recursive(SCREAMING_SNAKE_CASE_      ,SCREAMING_SNAKE_CASE_			)


if __name__ == "__main__":
					UpperCAmelCase        =				Graph()
					g.add_edge(0, 1)
					g.add_edge(0, 2)
					g.add_edge(1, 2)
					g.add_edge(2, 0)
					g.add_edge(2, 3)
					g.add_edge(3, 3)

					g.print_graph()
					print("""DFS:""")
					g.dfs()

					# OUTPUT:
					# 0  ->  1 -> 2
					# 1  ->  2
					# 2  ->  0 -> 3
					# 3  ->  3
					# DFS:
					#  0 1 2 3


